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Datasets:
mstz
/
lrs

Tasks:
Tabular Classification
Modalities:
Tabular
Languages:
English
Size:
1K<n<10K
Tags:
lrs
tabular_classification
binary_classification
multiclass_classification
UCI
Libraries:
Datasets
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License:
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mstz commited on
Commit
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1 Parent(s): 71302f8

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  1. README.md +51 -1
  2. lrs.csv +0 -0
  3. lrs.py +1132 -0
README.md CHANGED
@@ -1,3 +1,53 @@
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  ---
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- license: cc-by-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ tags:
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+ - lrs
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+ - tabular_classification
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+ - binary_classification
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+ - multiclass_classification
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+ pretty_name: Lrs
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+ size_categories:
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+ - n<1k
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+ task_categories: # Full list at https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts
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+ - tabular-classification
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+ configs:
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+ - lrs
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+ - lrs_0
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+ - lrs_1
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+ - lrs_2
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+ - lrs_3
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+ - lrs_4
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+ - lrs_5
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+ - lrs_6
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+ - lrs_7
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+ - lrs_8
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+
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+
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  ---
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+ # Lrs
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+ The [Lrs-Roth dataset](https://archive-beta.ics.uci.edu/dataset/93/low+resolution+spectrometer) from the [UCI repository](https://archive-beta.ics.uci.edu).
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+
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+ # Configurations and tasks
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+ | **Configuration** | **Task** | **Description** |
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+ |-------------------|---------------------------|------------------------------|
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+ | lrs | Multiclass classification | Classify lrs type. |
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+ | lrs_0 | Binary classification | Is this instance of class 0? |
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+ | lrs_1 | Binary classification | Is this instance of class 1? |
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+ | lrs_2 | Binary classification | Is this instance of class 2? |
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+ | lrs_3 | Binary classification | Is this instance of class 3? |
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+ | lrs_4 | Binary classification | Is this instance of class 4? |
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+ | lrs_5 | Binary classification | Is this instance of class 5? |
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+ | lrs_6 | Binary classification | Is this instance of class 6? |
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+ | lrs_7 | Binary classification | Is this instance of class 7? |
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+ | lrs_8 | Binary classification | Is this instance of class 8? |
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+
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+
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+
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+
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+ # Usage
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("mstz/lrs", "lrs")["train"]
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+ ```
lrs.csv ADDED
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lrs.py ADDED
@@ -0,0 +1,1132 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ from typing import List
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+
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+ import datasets
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+
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+ import pandas
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+
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+
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+ VERSION = datasets.Version("1.0.0")
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+
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+
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+ DESCRIPTION = "Lrs efficiency dataset from the UCI repository."
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+ _HOMEPAGE = "https://archive-beta.ics.uci.edu/dataset/93/low+resolution+spectrometer"
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+ _URLS = ("https://archive-beta.ics.uci.edu/dataset/93/low+resolution+spectrometer")
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+ _CITATION = """
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+ @misc{misc_lrs_53,
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+ author = {Fisher,R. A. & Fisher,R.A.},
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+ title = {{Lrs}},
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+ year = {1988},
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+ howpublished = {UCI Machine Learning Repository},
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+ note = {{DOI}: \\url{10.24432/C56C76}}
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+ }"""
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+
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+ # Dataset info
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+ urls_per_split = {
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+ "train": "https://huggingface.co/datasets/mstz/lrs/raw/main/lrs.csv"
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+ }
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+ features_types_per_config = {
28
+ "lrs": {
29
+ "right_ascension": datasets.Value("float64"),
30
+ "declination": datasets.Value("float64"),
31
+ "scale_factor": datasets.Value("float64"),
32
+ "blue_base_1": datasets.Value("float64"),
33
+ "blue_base_2": datasets.Value("float64"),
34
+ "red_base_1": datasets.Value("float64"),
35
+ "red_base_2": datasets.Value("float64"),
36
+ "flux_blue_0": datasets.Value("float64"),
37
+ "flux_blue_1": datasets.Value("float64"),
38
+ "flux_blue_2": datasets.Value("float64"),
39
+ "flux_blue_3": datasets.Value("float64"),
40
+ "flux_blue_4": datasets.Value("float64"),
41
+ "flux_blue_5": datasets.Value("float64"),
42
+ "flux_blue_6": datasets.Value("float64"),
43
+ "flux_blue_7": datasets.Value("float64"),
44
+ "flux_blue_8": datasets.Value("float64"),
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+ "flux_blue_9": datasets.Value("float64"),
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+ "flux_blue_10": datasets.Value("float64"),
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+ "flux_blue_11": datasets.Value("float64"),
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+ "flux_blue_12": datasets.Value("float64"),
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+ "flux_blue_13": datasets.Value("float64"),
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+ "flux_blue_14": datasets.Value("float64"),
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+ "flux_blue_15": datasets.Value("float64"),
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+ "flux_blue_16": datasets.Value("float64"),
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+ "flux_blue_17": datasets.Value("float64"),
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+ "flux_blue_18": datasets.Value("float64"),
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+ "flux_blue_19": datasets.Value("float64"),
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+ "flux_blue_20": datasets.Value("float64"),
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+ "flux_blue_21": datasets.Value("float64"),
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+ "flux_blue_22": datasets.Value("float64"),
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+ "flux_blue_23": datasets.Value("float64"),
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+ "flux_blue_24": datasets.Value("float64"),
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+ "flux_blue_25": datasets.Value("float64"),
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+ "flux_blue_26": datasets.Value("float64"),
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+ "flux_blue_27": datasets.Value("float64"),
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+ "flux_blue_28": datasets.Value("float64"),
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+ "flux_blue_29": datasets.Value("float64"),
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+ "flux_blue_30": datasets.Value("float64"),
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+ "flux_blue_31": datasets.Value("float64"),
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+ "flux_blue_32": datasets.Value("float64"),
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+ "flux_blue_33": datasets.Value("float64"),
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+ "flux_blue_34": datasets.Value("float64"),
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+ "flux_blue_35": datasets.Value("float64"),
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+ "flux_blue_36": datasets.Value("float64"),
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+ "flux_blue_37": datasets.Value("float64"),
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+ "flux_blue_38": datasets.Value("float64"),
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+ "flux_blue_39": datasets.Value("float64"),
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+ "flux_blue_40": datasets.Value("float64"),
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+ "flux_blue_41": datasets.Value("float64"),
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+ "flux_blue_42": datasets.Value("float64"),
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+ "flux_blue_43": datasets.Value("float64"),
80
+ "flux_red_0": datasets.Value("float64"),
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+ "flux_red_1": datasets.Value("float64"),
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+ "flux_red_2": datasets.Value("float64"),
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+ "flux_red_3": datasets.Value("float64"),
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+ "flux_red_4": datasets.Value("float64"),
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+ "flux_red_5": datasets.Value("float64"),
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+ "flux_red_6": datasets.Value("float64"),
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+ "flux_red_7": datasets.Value("float64"),
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+ "flux_red_8": datasets.Value("float64"),
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+ "flux_red_9": datasets.Value("float64"),
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+ "flux_red_10": datasets.Value("float64"),
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+ "flux_red_11": datasets.Value("float64"),
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+ "flux_red_12": datasets.Value("float64"),
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+ "flux_red_13": datasets.Value("float64"),
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+ "flux_red_14": datasets.Value("float64"),
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+ "flux_red_15": datasets.Value("float64"),
96
+ "flux_red_16": datasets.Value("float64"),
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+ "flux_red_17": datasets.Value("float64"),
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+ "flux_red_18": datasets.Value("float64"),
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+ "flux_red_19": datasets.Value("float64"),
100
+ "flux_red_20": datasets.Value("float64"),
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+ "flux_red_21": datasets.Value("float64"),
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+ "flux_red_22": datasets.Value("float64"),
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+ "flux_red_23": datasets.Value("float64"),
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+ "flux_red_24": datasets.Value("float64"),
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+ "flux_red_25": datasets.Value("float64"),
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+ "flux_red_26": datasets.Value("float64"),
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+ "flux_red_27": datasets.Value("float64"),
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+ "flux_red_28": datasets.Value("float64"),
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+ "flux_red_29": datasets.Value("float64"),
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+ "flux_red_30": datasets.Value("float64"),
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+ "flux_red_31": datasets.Value("float64"),
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+ "flux_red_32": datasets.Value("float64"),
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+ "flux_red_33": datasets.Value("float64"),
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+ "flux_red_34": datasets.Value("float64"),
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+ "flux_red_35": datasets.Value("float64"),
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+ "flux_red_36": datasets.Value("float64"),
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+ "flux_red_37": datasets.Value("float64"),
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+ "flux_red_38": datasets.Value("float64"),
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+ "flux_red_39": datasets.Value("float64"),
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+ "flux_red_40": datasets.Value("float64"),
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+ "flux_red_41": datasets.Value("float64"),
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+ "flux_red_42": datasets.Value("float64"),
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+ "flux_red_43": datasets.Value("float64"),
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+ "flux_red_44": datasets.Value("float64"),
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+ "flux_red_45": datasets.Value("float64"),
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+ "flux_red_46": datasets.Value("float64"),
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+ "flux_red_47": datasets.Value("float64"),
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+ "flux_red_48": datasets.Value("float64"),
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+ "class": datasets.ClassLabel(num_classes=9)
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+ },
131
+ "type_0": {
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+ "right_ascension": datasets.Value("float64"),
133
+ "declination": datasets.Value("float64"),
134
+ "scale_factor": datasets.Value("float64"),
135
+ "blue_base_1": datasets.Value("float64"),
136
+ "blue_base_2": datasets.Value("float64"),
137
+ "red_base_1": datasets.Value("float64"),
138
+ "red_base_2": datasets.Value("float64"),
139
+ "flux_blue_0": datasets.Value("float64"),
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+ "flux_blue_1": datasets.Value("float64"),
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+ "flux_blue_2": datasets.Value("float64"),
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+ "flux_blue_3": datasets.Value("float64"),
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+ "flux_blue_4": datasets.Value("float64"),
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+ "flux_blue_5": datasets.Value("float64"),
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+ "flux_blue_6": datasets.Value("float64"),
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+ "flux_blue_7": datasets.Value("float64"),
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+ "flux_blue_8": datasets.Value("float64"),
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+ "flux_blue_9": datasets.Value("float64"),
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+ "flux_blue_10": datasets.Value("float64"),
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+ "flux_blue_11": datasets.Value("float64"),
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+ "flux_blue_12": datasets.Value("float64"),
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+ "flux_blue_13": datasets.Value("float64"),
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+ "flux_blue_14": datasets.Value("float64"),
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+ "flux_blue_15": datasets.Value("float64"),
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+ "flux_blue_16": datasets.Value("float64"),
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+ "flux_blue_17": datasets.Value("float64"),
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+ "flux_blue_18": datasets.Value("float64"),
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+ "flux_blue_19": datasets.Value("float64"),
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+ "flux_blue_20": datasets.Value("float64"),
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+ "flux_blue_21": datasets.Value("float64"),
161
+ "flux_blue_22": datasets.Value("float64"),
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+ "flux_blue_23": datasets.Value("float64"),
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+ "flux_blue_24": datasets.Value("float64"),
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+ "flux_blue_25": datasets.Value("float64"),
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+ "flux_blue_26": datasets.Value("float64"),
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+ "flux_blue_27": datasets.Value("float64"),
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+ "flux_blue_28": datasets.Value("float64"),
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+ "flux_blue_29": datasets.Value("float64"),
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+ "flux_blue_30": datasets.Value("float64"),
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+ "flux_blue_31": datasets.Value("float64"),
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+ "flux_blue_32": datasets.Value("float64"),
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+ "flux_blue_33": datasets.Value("float64"),
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+ "flux_blue_34": datasets.Value("float64"),
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+ "flux_blue_35": datasets.Value("float64"),
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+ "flux_blue_36": datasets.Value("float64"),
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+ "flux_blue_37": datasets.Value("float64"),
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+ "flux_blue_38": datasets.Value("float64"),
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+ "flux_blue_39": datasets.Value("float64"),
179
+ "flux_blue_40": datasets.Value("float64"),
180
+ "flux_blue_41": datasets.Value("float64"),
181
+ "flux_blue_42": datasets.Value("float64"),
182
+ "flux_blue_43": datasets.Value("float64"),
183
+ "flux_red_0": datasets.Value("float64"),
184
+ "flux_red_1": datasets.Value("float64"),
185
+ "flux_red_2": datasets.Value("float64"),
186
+ "flux_red_3": datasets.Value("float64"),
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+ "flux_red_4": datasets.Value("float64"),
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+ "flux_red_5": datasets.Value("float64"),
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+ "flux_red_6": datasets.Value("float64"),
190
+ "flux_red_7": datasets.Value("float64"),
191
+ "flux_red_8": datasets.Value("float64"),
192
+ "flux_red_9": datasets.Value("float64"),
193
+ "flux_red_10": datasets.Value("float64"),
194
+ "flux_red_11": datasets.Value("float64"),
195
+ "flux_red_12": datasets.Value("float64"),
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+ "flux_red_13": datasets.Value("float64"),
197
+ "flux_red_14": datasets.Value("float64"),
198
+ "flux_red_15": datasets.Value("float64"),
199
+ "flux_red_16": datasets.Value("float64"),
200
+ "flux_red_17": datasets.Value("float64"),
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+ "flux_red_18": datasets.Value("float64"),
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+ "flux_red_19": datasets.Value("float64"),
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+ "flux_red_20": datasets.Value("float64"),
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+ "flux_red_21": datasets.Value("float64"),
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+ "flux_red_22": datasets.Value("float64"),
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+ "flux_red_23": datasets.Value("float64"),
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+ "flux_red_24": datasets.Value("float64"),
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+ "flux_red_25": datasets.Value("float64"),
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+ "flux_red_26": datasets.Value("float64"),
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+ "flux_red_27": datasets.Value("float64"),
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+ "flux_red_28": datasets.Value("float64"),
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+ "flux_red_29": datasets.Value("float64"),
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+ "flux_red_30": datasets.Value("float64"),
214
+ "flux_red_31": datasets.Value("float64"),
215
+ "flux_red_32": datasets.Value("float64"),
216
+ "flux_red_33": datasets.Value("float64"),
217
+ "flux_red_34": datasets.Value("float64"),
218
+ "flux_red_35": datasets.Value("float64"),
219
+ "flux_red_36": datasets.Value("float64"),
220
+ "flux_red_37": datasets.Value("float64"),
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+ "flux_red_38": datasets.Value("float64"),
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+ "flux_red_39": datasets.Value("float64"),
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+ "flux_red_40": datasets.Value("float64"),
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+ "flux_red_41": datasets.Value("float64"),
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+ "flux_red_42": datasets.Value("float64"),
226
+ "flux_red_43": datasets.Value("float64"),
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+ "flux_red_44": datasets.Value("float64"),
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+ "flux_red_46": datasets.Value("float64"),
230
+ "flux_red_47": datasets.Value("float64"),
231
+ "flux_red_48": datasets.Value("float64"),
232
+ "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
233
+ },
234
+ "type_1": {
235
+ "right_ascension": datasets.Value("float64"),
236
+ "declination": datasets.Value("float64"),
237
+ "scale_factor": datasets.Value("float64"),
238
+ "blue_base_1": datasets.Value("float64"),
239
+ "blue_base_2": datasets.Value("float64"),
240
+ "red_base_1": datasets.Value("float64"),
241
+ "red_base_2": datasets.Value("float64"),
242
+ "flux_blue_0": datasets.Value("float64"),
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+ "flux_blue_1": datasets.Value("float64"),
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+ "flux_blue_2": datasets.Value("float64"),
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+ "flux_blue_3": datasets.Value("float64"),
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+ "flux_blue_4": datasets.Value("float64"),
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+ "flux_blue_5": datasets.Value("float64"),
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+ "flux_blue_6": datasets.Value("float64"),
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+ "flux_blue_7": datasets.Value("float64"),
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+ "flux_blue_8": datasets.Value("float64"),
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+ "flux_blue_9": datasets.Value("float64"),
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+ "flux_blue_10": datasets.Value("float64"),
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+ "flux_blue_11": datasets.Value("float64"),
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+ "flux_blue_12": datasets.Value("float64"),
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+ "flux_blue_13": datasets.Value("float64"),
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+ "flux_blue_14": datasets.Value("float64"),
257
+ "flux_blue_15": datasets.Value("float64"),
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+ "flux_blue_16": datasets.Value("float64"),
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+ "flux_blue_17": datasets.Value("float64"),
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+ "flux_blue_18": datasets.Value("float64"),
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+ "flux_blue_19": datasets.Value("float64"),
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+ "flux_blue_20": datasets.Value("float64"),
263
+ "flux_blue_21": datasets.Value("float64"),
264
+ "flux_blue_22": datasets.Value("float64"),
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+ "flux_blue_23": datasets.Value("float64"),
266
+ "flux_blue_24": datasets.Value("float64"),
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+ "flux_blue_25": datasets.Value("float64"),
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+ "flux_blue_26": datasets.Value("float64"),
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+ "flux_blue_27": datasets.Value("float64"),
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+ "flux_blue_28": datasets.Value("float64"),
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+ "flux_blue_29": datasets.Value("float64"),
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+ "flux_blue_30": datasets.Value("float64"),
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+ "flux_blue_31": datasets.Value("float64"),
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+ "flux_blue_32": datasets.Value("float64"),
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+ "flux_blue_33": datasets.Value("float64"),
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+ "flux_blue_34": datasets.Value("float64"),
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+ "flux_blue_35": datasets.Value("float64"),
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+ "flux_blue_36": datasets.Value("float64"),
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+ "flux_blue_37": datasets.Value("float64"),
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+ "flux_blue_38": datasets.Value("float64"),
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+ "flux_blue_39": datasets.Value("float64"),
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+ "flux_blue_40": datasets.Value("float64"),
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+ "flux_blue_41": datasets.Value("float64"),
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+ "flux_blue_42": datasets.Value("float64"),
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+ "flux_blue_43": datasets.Value("float64"),
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+ "flux_red_0": datasets.Value("float64"),
287
+ "flux_red_1": datasets.Value("float64"),
288
+ "flux_red_2": datasets.Value("float64"),
289
+ "flux_red_3": datasets.Value("float64"),
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+ "flux_red_4": datasets.Value("float64"),
291
+ "flux_red_5": datasets.Value("float64"),
292
+ "flux_red_6": datasets.Value("float64"),
293
+ "flux_red_7": datasets.Value("float64"),
294
+ "flux_red_8": datasets.Value("float64"),
295
+ "flux_red_9": datasets.Value("float64"),
296
+ "flux_red_10": datasets.Value("float64"),
297
+ "flux_red_11": datasets.Value("float64"),
298
+ "flux_red_12": datasets.Value("float64"),
299
+ "flux_red_13": datasets.Value("float64"),
300
+ "flux_red_14": datasets.Value("float64"),
301
+ "flux_red_15": datasets.Value("float64"),
302
+ "flux_red_16": datasets.Value("float64"),
303
+ "flux_red_17": datasets.Value("float64"),
304
+ "flux_red_18": datasets.Value("float64"),
305
+ "flux_red_19": datasets.Value("float64"),
306
+ "flux_red_20": datasets.Value("float64"),
307
+ "flux_red_21": datasets.Value("float64"),
308
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+ "flux_red_21": datasets.Value("float64"),
720
+ "flux_red_22": datasets.Value("float64"),
721
+ "flux_red_23": datasets.Value("float64"),
722
+ "flux_red_24": datasets.Value("float64"),
723
+ "flux_red_25": datasets.Value("float64"),
724
+ "flux_red_26": datasets.Value("float64"),
725
+ "flux_red_27": datasets.Value("float64"),
726
+ "flux_red_28": datasets.Value("float64"),
727
+ "flux_red_29": datasets.Value("float64"),
728
+ "flux_red_30": datasets.Value("float64"),
729
+ "flux_red_31": datasets.Value("float64"),
730
+ "flux_red_32": datasets.Value("float64"),
731
+ "flux_red_33": datasets.Value("float64"),
732
+ "flux_red_34": datasets.Value("float64"),
733
+ "flux_red_35": datasets.Value("float64"),
734
+ "flux_red_36": datasets.Value("float64"),
735
+ "flux_red_37": datasets.Value("float64"),
736
+ "flux_red_38": datasets.Value("float64"),
737
+ "flux_red_39": datasets.Value("float64"),
738
+ "flux_red_40": datasets.Value("float64"),
739
+ "flux_red_41": datasets.Value("float64"),
740
+ "flux_red_42": datasets.Value("float64"),
741
+ "flux_red_43": datasets.Value("float64"),
742
+ "flux_red_44": datasets.Value("float64"),
743
+ "flux_red_45": datasets.Value("float64"),
744
+ "flux_red_46": datasets.Value("float64"),
745
+ "flux_red_47": datasets.Value("float64"),
746
+ "flux_red_48": datasets.Value("float64"),
747
+ "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
748
+ },
749
+ "type_6": {
750
+ "right_ascension": datasets.Value("float64"),
751
+ "declination": datasets.Value("float64"),
752
+ "scale_factor": datasets.Value("float64"),
753
+ "blue_base_1": datasets.Value("float64"),
754
+ "blue_base_2": datasets.Value("float64"),
755
+ "red_base_1": datasets.Value("float64"),
756
+ "red_base_2": datasets.Value("float64"),
757
+ "flux_blue_0": datasets.Value("float64"),
758
+ "flux_blue_1": datasets.Value("float64"),
759
+ "flux_blue_2": datasets.Value("float64"),
760
+ "flux_blue_3": datasets.Value("float64"),
761
+ "flux_blue_4": datasets.Value("float64"),
762
+ "flux_blue_5": datasets.Value("float64"),
763
+ "flux_blue_6": datasets.Value("float64"),
764
+ "flux_blue_7": datasets.Value("float64"),
765
+ "flux_blue_8": datasets.Value("float64"),
766
+ "flux_blue_9": datasets.Value("float64"),
767
+ "flux_blue_10": datasets.Value("float64"),
768
+ "flux_blue_11": datasets.Value("float64"),
769
+ "flux_blue_12": datasets.Value("float64"),
770
+ "flux_blue_13": datasets.Value("float64"),
771
+ "flux_blue_14": datasets.Value("float64"),
772
+ "flux_blue_15": datasets.Value("float64"),
773
+ "flux_blue_16": datasets.Value("float64"),
774
+ "flux_blue_17": datasets.Value("float64"),
775
+ "flux_blue_18": datasets.Value("float64"),
776
+ "flux_blue_19": datasets.Value("float64"),
777
+ "flux_blue_20": datasets.Value("float64"),
778
+ "flux_blue_21": datasets.Value("float64"),
779
+ "flux_blue_22": datasets.Value("float64"),
780
+ "flux_blue_23": datasets.Value("float64"),
781
+ "flux_blue_24": datasets.Value("float64"),
782
+ "flux_blue_25": datasets.Value("float64"),
783
+ "flux_blue_26": datasets.Value("float64"),
784
+ "flux_blue_27": datasets.Value("float64"),
785
+ "flux_blue_28": datasets.Value("float64"),
786
+ "flux_blue_29": datasets.Value("float64"),
787
+ "flux_blue_30": datasets.Value("float64"),
788
+ "flux_blue_31": datasets.Value("float64"),
789
+ "flux_blue_32": datasets.Value("float64"),
790
+ "flux_blue_33": datasets.Value("float64"),
791
+ "flux_blue_34": datasets.Value("float64"),
792
+ "flux_blue_35": datasets.Value("float64"),
793
+ "flux_blue_36": datasets.Value("float64"),
794
+ "flux_blue_37": datasets.Value("float64"),
795
+ "flux_blue_38": datasets.Value("float64"),
796
+ "flux_blue_39": datasets.Value("float64"),
797
+ "flux_blue_40": datasets.Value("float64"),
798
+ "flux_blue_41": datasets.Value("float64"),
799
+ "flux_blue_42": datasets.Value("float64"),
800
+ "flux_blue_43": datasets.Value("float64"),
801
+ "flux_red_0": datasets.Value("float64"),
802
+ "flux_red_1": datasets.Value("float64"),
803
+ "flux_red_2": datasets.Value("float64"),
804
+ "flux_red_3": datasets.Value("float64"),
805
+ "flux_red_4": datasets.Value("float64"),
806
+ "flux_red_5": datasets.Value("float64"),
807
+ "flux_red_6": datasets.Value("float64"),
808
+ "flux_red_7": datasets.Value("float64"),
809
+ "flux_red_8": datasets.Value("float64"),
810
+ "flux_red_9": datasets.Value("float64"),
811
+ "flux_red_10": datasets.Value("float64"),
812
+ "flux_red_11": datasets.Value("float64"),
813
+ "flux_red_12": datasets.Value("float64"),
814
+ "flux_red_13": datasets.Value("float64"),
815
+ "flux_red_14": datasets.Value("float64"),
816
+ "flux_red_15": datasets.Value("float64"),
817
+ "flux_red_16": datasets.Value("float64"),
818
+ "flux_red_17": datasets.Value("float64"),
819
+ "flux_red_18": datasets.Value("float64"),
820
+ "flux_red_19": datasets.Value("float64"),
821
+ "flux_red_20": datasets.Value("float64"),
822
+ "flux_red_21": datasets.Value("float64"),
823
+ "flux_red_22": datasets.Value("float64"),
824
+ "flux_red_23": datasets.Value("float64"),
825
+ "flux_red_24": datasets.Value("float64"),
826
+ "flux_red_25": datasets.Value("float64"),
827
+ "flux_red_26": datasets.Value("float64"),
828
+ "flux_red_27": datasets.Value("float64"),
829
+ "flux_red_28": datasets.Value("float64"),
830
+ "flux_red_29": datasets.Value("float64"),
831
+ "flux_red_30": datasets.Value("float64"),
832
+ "flux_red_31": datasets.Value("float64"),
833
+ "flux_red_32": datasets.Value("float64"),
834
+ "flux_red_33": datasets.Value("float64"),
835
+ "flux_red_34": datasets.Value("float64"),
836
+ "flux_red_35": datasets.Value("float64"),
837
+ "flux_red_36": datasets.Value("float64"),
838
+ "flux_red_37": datasets.Value("float64"),
839
+ "flux_red_38": datasets.Value("float64"),
840
+ "flux_red_39": datasets.Value("float64"),
841
+ "flux_red_40": datasets.Value("float64"),
842
+ "flux_red_41": datasets.Value("float64"),
843
+ "flux_red_42": datasets.Value("float64"),
844
+ "flux_red_43": datasets.Value("float64"),
845
+ "flux_red_44": datasets.Value("float64"),
846
+ "flux_red_45": datasets.Value("float64"),
847
+ "flux_red_46": datasets.Value("float64"),
848
+ "flux_red_47": datasets.Value("float64"),
849
+ "flux_red_48": datasets.Value("float64"),
850
+ "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
851
+ },
852
+ "type_7": {
853
+ "right_ascension": datasets.Value("float64"),
854
+ "declination": datasets.Value("float64"),
855
+ "scale_factor": datasets.Value("float64"),
856
+ "blue_base_1": datasets.Value("float64"),
857
+ "blue_base_2": datasets.Value("float64"),
858
+ "red_base_1": datasets.Value("float64"),
859
+ "red_base_2": datasets.Value("float64"),
860
+ "flux_blue_0": datasets.Value("float64"),
861
+ "flux_blue_1": datasets.Value("float64"),
862
+ "flux_blue_2": datasets.Value("float64"),
863
+ "flux_blue_3": datasets.Value("float64"),
864
+ "flux_blue_4": datasets.Value("float64"),
865
+ "flux_blue_5": datasets.Value("float64"),
866
+ "flux_blue_6": datasets.Value("float64"),
867
+ "flux_blue_7": datasets.Value("float64"),
868
+ "flux_blue_8": datasets.Value("float64"),
869
+ "flux_blue_9": datasets.Value("float64"),
870
+ "flux_blue_10": datasets.Value("float64"),
871
+ "flux_blue_11": datasets.Value("float64"),
872
+ "flux_blue_12": datasets.Value("float64"),
873
+ "flux_blue_13": datasets.Value("float64"),
874
+ "flux_blue_14": datasets.Value("float64"),
875
+ "flux_blue_15": datasets.Value("float64"),
876
+ "flux_blue_16": datasets.Value("float64"),
877
+ "flux_blue_17": datasets.Value("float64"),
878
+ "flux_blue_18": datasets.Value("float64"),
879
+ "flux_blue_19": datasets.Value("float64"),
880
+ "flux_blue_20": datasets.Value("float64"),
881
+ "flux_blue_21": datasets.Value("float64"),
882
+ "flux_blue_22": datasets.Value("float64"),
883
+ "flux_blue_23": datasets.Value("float64"),
884
+ "flux_blue_24": datasets.Value("float64"),
885
+ "flux_blue_25": datasets.Value("float64"),
886
+ "flux_blue_26": datasets.Value("float64"),
887
+ "flux_blue_27": datasets.Value("float64"),
888
+ "flux_blue_28": datasets.Value("float64"),
889
+ "flux_blue_29": datasets.Value("float64"),
890
+ "flux_blue_30": datasets.Value("float64"),
891
+ "flux_blue_31": datasets.Value("float64"),
892
+ "flux_blue_32": datasets.Value("float64"),
893
+ "flux_blue_33": datasets.Value("float64"),
894
+ "flux_blue_34": datasets.Value("float64"),
895
+ "flux_blue_35": datasets.Value("float64"),
896
+ "flux_blue_36": datasets.Value("float64"),
897
+ "flux_blue_37": datasets.Value("float64"),
898
+ "flux_blue_38": datasets.Value("float64"),
899
+ "flux_blue_39": datasets.Value("float64"),
900
+ "flux_blue_40": datasets.Value("float64"),
901
+ "flux_blue_41": datasets.Value("float64"),
902
+ "flux_blue_42": datasets.Value("float64"),
903
+ "flux_blue_43": datasets.Value("float64"),
904
+ "flux_red_0": datasets.Value("float64"),
905
+ "flux_red_1": datasets.Value("float64"),
906
+ "flux_red_2": datasets.Value("float64"),
907
+ "flux_red_3": datasets.Value("float64"),
908
+ "flux_red_4": datasets.Value("float64"),
909
+ "flux_red_5": datasets.Value("float64"),
910
+ "flux_red_6": datasets.Value("float64"),
911
+ "flux_red_7": datasets.Value("float64"),
912
+ "flux_red_8": datasets.Value("float64"),
913
+ "flux_red_9": datasets.Value("float64"),
914
+ "flux_red_10": datasets.Value("float64"),
915
+ "flux_red_11": datasets.Value("float64"),
916
+ "flux_red_12": datasets.Value("float64"),
917
+ "flux_red_13": datasets.Value("float64"),
918
+ "flux_red_14": datasets.Value("float64"),
919
+ "flux_red_15": datasets.Value("float64"),
920
+ "flux_red_16": datasets.Value("float64"),
921
+ "flux_red_17": datasets.Value("float64"),
922
+ "flux_red_18": datasets.Value("float64"),
923
+ "flux_red_19": datasets.Value("float64"),
924
+ "flux_red_20": datasets.Value("float64"),
925
+ "flux_red_21": datasets.Value("float64"),
926
+ "flux_red_22": datasets.Value("float64"),
927
+ "flux_red_23": datasets.Value("float64"),
928
+ "flux_red_24": datasets.Value("float64"),
929
+ "flux_red_25": datasets.Value("float64"),
930
+ "flux_red_26": datasets.Value("float64"),
931
+ "flux_red_27": datasets.Value("float64"),
932
+ "flux_red_28": datasets.Value("float64"),
933
+ "flux_red_29": datasets.Value("float64"),
934
+ "flux_red_30": datasets.Value("float64"),
935
+ "flux_red_31": datasets.Value("float64"),
936
+ "flux_red_32": datasets.Value("float64"),
937
+ "flux_red_33": datasets.Value("float64"),
938
+ "flux_red_34": datasets.Value("float64"),
939
+ "flux_red_35": datasets.Value("float64"),
940
+ "flux_red_36": datasets.Value("float64"),
941
+ "flux_red_37": datasets.Value("float64"),
942
+ "flux_red_38": datasets.Value("float64"),
943
+ "flux_red_39": datasets.Value("float64"),
944
+ "flux_red_40": datasets.Value("float64"),
945
+ "flux_red_41": datasets.Value("float64"),
946
+ "flux_red_42": datasets.Value("float64"),
947
+ "flux_red_43": datasets.Value("float64"),
948
+ "flux_red_44": datasets.Value("float64"),
949
+ "flux_red_45": datasets.Value("float64"),
950
+ "flux_red_46": datasets.Value("float64"),
951
+ "flux_red_47": datasets.Value("float64"),
952
+ "flux_red_48": datasets.Value("float64"),
953
+ "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
954
+ },
955
+ "type_8": {
956
+ "right_ascension": datasets.Value("float64"),
957
+ "declination": datasets.Value("float64"),
958
+ "scale_factor": datasets.Value("float64"),
959
+ "blue_base_1": datasets.Value("float64"),
960
+ "blue_base_2": datasets.Value("float64"),
961
+ "red_base_1": datasets.Value("float64"),
962
+ "red_base_2": datasets.Value("float64"),
963
+ "flux_blue_0": datasets.Value("float64"),
964
+ "flux_blue_1": datasets.Value("float64"),
965
+ "flux_blue_2": datasets.Value("float64"),
966
+ "flux_blue_3": datasets.Value("float64"),
967
+ "flux_blue_4": datasets.Value("float64"),
968
+ "flux_blue_5": datasets.Value("float64"),
969
+ "flux_blue_6": datasets.Value("float64"),
970
+ "flux_blue_7": datasets.Value("float64"),
971
+ "flux_blue_8": datasets.Value("float64"),
972
+ "flux_blue_9": datasets.Value("float64"),
973
+ "flux_blue_10": datasets.Value("float64"),
974
+ "flux_blue_11": datasets.Value("float64"),
975
+ "flux_blue_12": datasets.Value("float64"),
976
+ "flux_blue_13": datasets.Value("float64"),
977
+ "flux_blue_14": datasets.Value("float64"),
978
+ "flux_blue_15": datasets.Value("float64"),
979
+ "flux_blue_16": datasets.Value("float64"),
980
+ "flux_blue_17": datasets.Value("float64"),
981
+ "flux_blue_18": datasets.Value("float64"),
982
+ "flux_blue_19": datasets.Value("float64"),
983
+ "flux_blue_20": datasets.Value("float64"),
984
+ "flux_blue_21": datasets.Value("float64"),
985
+ "flux_blue_22": datasets.Value("float64"),
986
+ "flux_blue_23": datasets.Value("float64"),
987
+ "flux_blue_24": datasets.Value("float64"),
988
+ "flux_blue_25": datasets.Value("float64"),
989
+ "flux_blue_26": datasets.Value("float64"),
990
+ "flux_blue_27": datasets.Value("float64"),
991
+ "flux_blue_28": datasets.Value("float64"),
992
+ "flux_blue_29": datasets.Value("float64"),
993
+ "flux_blue_30": datasets.Value("float64"),
994
+ "flux_blue_31": datasets.Value("float64"),
995
+ "flux_blue_32": datasets.Value("float64"),
996
+ "flux_blue_33": datasets.Value("float64"),
997
+ "flux_blue_34": datasets.Value("float64"),
998
+ "flux_blue_35": datasets.Value("float64"),
999
+ "flux_blue_36": datasets.Value("float64"),
1000
+ "flux_blue_37": datasets.Value("float64"),
1001
+ "flux_blue_38": datasets.Value("float64"),
1002
+ "flux_blue_39": datasets.Value("float64"),
1003
+ "flux_blue_40": datasets.Value("float64"),
1004
+ "flux_blue_41": datasets.Value("float64"),
1005
+ "flux_blue_42": datasets.Value("float64"),
1006
+ "flux_blue_43": datasets.Value("float64"),
1007
+ "flux_red_0": datasets.Value("float64"),
1008
+ "flux_red_1": datasets.Value("float64"),
1009
+ "flux_red_2": datasets.Value("float64"),
1010
+ "flux_red_3": datasets.Value("float64"),
1011
+ "flux_red_4": datasets.Value("float64"),
1012
+ "flux_red_5": datasets.Value("float64"),
1013
+ "flux_red_6": datasets.Value("float64"),
1014
+ "flux_red_7": datasets.Value("float64"),
1015
+ "flux_red_8": datasets.Value("float64"),
1016
+ "flux_red_9": datasets.Value("float64"),
1017
+ "flux_red_10": datasets.Value("float64"),
1018
+ "flux_red_11": datasets.Value("float64"),
1019
+ "flux_red_12": datasets.Value("float64"),
1020
+ "flux_red_13": datasets.Value("float64"),
1021
+ "flux_red_14": datasets.Value("float64"),
1022
+ "flux_red_15": datasets.Value("float64"),
1023
+ "flux_red_16": datasets.Value("float64"),
1024
+ "flux_red_17": datasets.Value("float64"),
1025
+ "flux_red_18": datasets.Value("float64"),
1026
+ "flux_red_19": datasets.Value("float64"),
1027
+ "flux_red_20": datasets.Value("float64"),
1028
+ "flux_red_21": datasets.Value("float64"),
1029
+ "flux_red_22": datasets.Value("float64"),
1030
+ "flux_red_23": datasets.Value("float64"),
1031
+ "flux_red_24": datasets.Value("float64"),
1032
+ "flux_red_25": datasets.Value("float64"),
1033
+ "flux_red_26": datasets.Value("float64"),
1034
+ "flux_red_27": datasets.Value("float64"),
1035
+ "flux_red_28": datasets.Value("float64"),
1036
+ "flux_red_29": datasets.Value("float64"),
1037
+ "flux_red_30": datasets.Value("float64"),
1038
+ "flux_red_31": datasets.Value("float64"),
1039
+ "flux_red_32": datasets.Value("float64"),
1040
+ "flux_red_33": datasets.Value("float64"),
1041
+ "flux_red_34": datasets.Value("float64"),
1042
+ "flux_red_35": datasets.Value("float64"),
1043
+ "flux_red_36": datasets.Value("float64"),
1044
+ "flux_red_37": datasets.Value("float64"),
1045
+ "flux_red_38": datasets.Value("float64"),
1046
+ "flux_red_39": datasets.Value("float64"),
1047
+ "flux_red_40": datasets.Value("float64"),
1048
+ "flux_red_41": datasets.Value("float64"),
1049
+ "flux_red_42": datasets.Value("float64"),
1050
+ "flux_red_43": datasets.Value("float64"),
1051
+ "flux_red_44": datasets.Value("float64"),
1052
+ "flux_red_45": datasets.Value("float64"),
1053
+ "flux_red_46": datasets.Value("float64"),
1054
+ "flux_red_47": datasets.Value("float64"),
1055
+ "flux_red_48": datasets.Value("float64"),
1056
+ "class": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
1057
+ },
1058
+
1059
+ }
1060
+ features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
1061
+
1062
+
1063
+ class LrsConfig(datasets.BuilderConfig):
1064
+ def __init__(self, **kwargs):
1065
+ super(LrsConfig, self).__init__(version=VERSION, **kwargs)
1066
+ self.features = features_per_config[kwargs["name"]]
1067
+
1068
+
1069
+ class Lrs(datasets.GeneratorBasedBuilder):
1070
+ # dataset versions
1071
+ DEFAULT_CONFIG = "lrs"
1072
+ BUILDER_CONFIGS = [
1073
+ LrsConfig(name="lrs", description="Lrs dataset."),
1074
+ LrsConfig(name="lrs_0", description="Binary classification of class 0."),
1075
+ LrsConfig(name="lrs_1", description="Binary classification of class 1."),
1076
+ LrsConfig(name="lrs_2", description="Binary classification of class 2."),
1077
+ LrsConfig(name="lrs_3", description="Binary classification of class 3."),
1078
+ LrsConfig(name="lrs_4", description="Binary classification of class 4."),
1079
+ LrsConfig(name="lrs_5", description="Binary classification of class 5."),
1080
+ LrsConfig(name="lrs_6", description="Binary classification of class 6."),
1081
+ LrsConfig(name="lrs_7", description="Binary classification of class 7."),
1082
+ LrsConfig(name="lrs_8", description="Binary classification of class 8.")
1083
+
1084
+ ]
1085
+
1086
+
1087
+ def _info(self):
1088
+ info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
1089
+ features=features_per_config[self.config.name])
1090
+
1091
+ return info
1092
+
1093
+ def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
1094
+ downloads = dl_manager.download_and_extract(urls_per_split)
1095
+
1096
+ return [
1097
+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloads["train"]})
1098
+ ]
1099
+
1100
+ def _generate_examples(self, filepath: str):
1101
+ data = pandas.read_csv(filepath)
1102
+ data = self.preprocess(data)
1103
+
1104
+ for row_id, row in data.iterrows():
1105
+ data_row = dict(row)
1106
+
1107
+ yield row_id, data_row
1108
+
1109
+ def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
1110
+ data = data[list(features_types_per_config["lrs"].keys())]
1111
+ data["class"] = data["class"].apply(lambda x: x if x < 10 else x // 10).unique()
1112
+
1113
+ if self.config.name == "lrs_0":
1114
+ data["class"] = data["class"].apply(lambda x: 1 if x == 0 else 0)
1115
+ if self.config.name == "lrs_1":
1116
+ data["class"] = data["class"].apply(lambda x: 1 if x == 1 else 0)
1117
+ if self.config.name == "lrs_2":
1118
+ data["class"] = data["class"].apply(lambda x: 1 if x == 2 else 0)
1119
+ if self.config.name == "lrs_3":
1120
+ data["class"] = data["class"].apply(lambda x: 1 if x == 3 else 0)
1121
+ if self.config.name == "lrs_4":
1122
+ data["class"] = data["class"].apply(lambda x: 1 if x == 4 else 0)
1123
+ if self.config.name == "lrs_5":
1124
+ data["class"] = data["class"].apply(lambda x: 1 if x == 5 else 0)
1125
+ if self.config.name == "lrs_6":
1126
+ data["class"] = data["class"].apply(lambda x: 1 if x == 6 else 0)
1127
+ if self.config.name == "lrs_7":
1128
+ data["class"] = data["class"].apply(lambda x: 1 if x == 7 else 0)
1129
+ if self.config.name == "lrs_8":
1130
+ data["class"] = data["class"].apply(lambda x: 1 if x == 8 else 0)
1131
+
1132
+ return data